Effects of Working Memory, Attention, and Expertise on Pilots' Situation Awareness

dc.contributor.author Cak, Serkan
dc.contributor.author Say, Bilge
dc.contributor.author Misirlisoy, Mine
dc.contributor.other Software Engineering
dc.contributor.other 06. School Of Engineering
dc.contributor.other 01. Atılım University
dc.date.accessioned 2024-07-05T15:41:09Z
dc.date.available 2024-07-05T15:41:09Z
dc.date.issued 2020
dc.description Say, Bilge/0000-0001-9276-729X en_US
dc.description.abstract The current study investigates individual differences that predict situation awareness (SA) in professional pilots. The aim of the study is twofold: to examine the roles of divided attention, inhibition, working memory, and expertise in predicting SA, and to demonstrate the relative contributions of these individual differences to online (Situation Awareness Present Method, SPAM) and offline (Situation Awareness Global Assessment Technique, SAGAT) SA measures. Thirty-six professional pilots completed a challenging flight scenario in a full-flight simulator. Divided attention, inhibition, working memory span, and expertise were measured using choice reaction time with dichotic listening, Stroop, and Automated Operation Span tasks, and flight hours in a full-flight simulator, respectively. Results indicated that offline and online SA measure were not correlated, supporting their concurrent use to obtain a comprehensive measure of SA. Offline SA scores were best predicted by working memory and level of expertise, while online SA scores were predicted by expertise, divided attention and inhibition. Results are discussed focusing on both theoretical contributions for defining and measuring SA and applications. Findings have implications for operators of critical domains and their interactions with automated systems, in which SA is crucial for performance and safety. en_US
dc.description.sponsorship Middle East Technical University, Informatics Institute, Turkey [BAP-07.04.2009.06]; Middle East Technical University Modeling and Simulation RD Center [BAP-08-11-2010-R-08] en_US
dc.description.sponsorship This work was partially funded by the Middle East Technical University, Informatics Institute, Turkey (Project no: BAP-07.04.2009.06) and by the Middle East Technical University Modeling and Simulation R&D Center (Project no: BAP-08-11-2010-R-08). en_US
dc.identifier.doi 10.1007/s10111-019-00551-w
dc.identifier.issn 1435-5558
dc.identifier.issn 1435-5566
dc.identifier.scopus 2-s2.0-85064083846
dc.identifier.uri https://doi.org/10.1007/s10111-019-00551-w
dc.identifier.uri https://hdl.handle.net/20.500.14411/3426
dc.language.iso en en_US
dc.publisher Springer London Ltd en_US
dc.relation.ispartof Cognition, Technology & Work
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Situation awareness en_US
dc.subject SAGAT en_US
dc.subject SPAM en_US
dc.subject Individual differences en_US
dc.subject Working memory en_US
dc.subject Divided attention en_US
dc.subject Inhibition en_US
dc.subject Expertise en_US
dc.title Effects of Working Memory, Attention, and Expertise on Pilots' Situation Awareness en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Say, Bilge/0000-0001-9276-729X
gdc.author.institutional Say, Bilge
gdc.author.scopusid 57208185503
gdc.author.scopusid 22434225400
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gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.description.department Atılım University en_US
gdc.description.departmenttemp [Cak, Serkan; Misirlisoy, Mine] Middle East Tech Univ, Ankara, Turkey; [Say, Bilge] Atilim Univ, Dept Software Engn, Ankara, Turkey en_US
gdc.description.endpage 94 en_US
gdc.description.issue 1 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 85 en_US
gdc.description.volume 22 en_US
gdc.description.wosquality Q3
gdc.identifier.openalex W2931511425
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gdc.oaire.sciencefields 05 social sciences
gdc.oaire.sciencefields 0501 psychology and cognitive sciences
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gdc.opencitations.count 37
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